IBM’s 50-qubit machine, a visual analytics tool called SpotLyt, and AllegroGraph Triple Attributes in today’s trending stories in data science news.
The largest quantum computer 50Q
IBM announces 50-qubit quantum computer
IBM has announced a quantum computer that handles 50 quantum bits (qubits). The company said it also has a working prototype of a 20-qubit system that will be made available through IBM Q cloud by year end. IBM did not divulge the technical details about how its engineers could simultaneously expand the number of qubits and increase the coherence times, but it did mention in the official statement that the improvements were due to better “superconducting qubit design, connectivity and packaging.” The 50-qubit prototype, known as 50Q, is a “natural extension” of the 20-qubit technology and exhibits “similar performance metrics,” the company added. The 50-qubit machine is so far the largest and most powerful quantum computer ever built. At this stage, IBM’s nearest rival in quantum computing is Google, which could demonstrate a working 49-qubit system before the end of 2017.
Launching SpotLyt
Brytlyt announces visual analytics tool SpotLyt for billion row data sets
GPU-accelerated database & analytics platform Brytlyt has introduced SpotLyt, a real-time visualization and analytical tool designed for massive datasets. SpotLyt can be used either as a stand-alone visualization tool or as an add-on to a company’s current visualization set-up. “We built SpotLyt because we found existing visualization tools don’t handle geo-visualization over 20,000 data points very well,” Brytlyt CEO Richard Heyns said, “Since SpotLyt uses Brytlyt’s own data rendering engine to visualize billion row datasets, analysts can now get a holistic and detailed point of view at their fingertips.”
AllegroGraph more secure than ever
Franz adds Triple Attribute security to AllegroGraph
Franz has announced Triple Attributes for its semantic graph database AllegroGraph. The new feature provides the necessary power and flexibility to address high-security data environments such as HIPAA access controls, privacy rules for banks, and security models for policing, intelligence and government. “Enterprises want the flexibility of graph databases, but they also want the security they have come to rely on with relational databases,” Franz CEO Jans Aasman said. Though the Triple Attributes feature was initiated for government level data security, it can be implemented for diverse data analytics from real world events like crop yields to storing blockchain hashes and ICO public keys for KYC applications. Triple Attribute Security is now available in AllegroGraph v6.3.